When technology works, humans trust it very quickly. But you can’t go from zero to building a really trusted AI system overnight. It takes time for technology to get to the stage where people are ready to develop a trust relationship with it. We’ve come so far in the last decade developing AI at Leidos, as a company we’re incredibly passionate about our trusted AI mission. While research has shown we trust self-driving cars within 10 minutes, there's still a tremendous need for trusted AI across the government, in combat and in matters of national securityIn this episode of the Leidos MindSET podcast, we have Head of AI at Leidos, Ron Keesing, talking about confronting AI’s trust issues. He shares how the AI that we view today as an easily trusted system is in fact the result of extensive development, testing, expertise and interaction that’s occurred over a long period of time. On today’s podcast:The consequences if AI isn’t trustedFrom self driving cars to the sea hunter platformThe 4AI methodology for developing trust in AINavigating the ethics of AIWhat’s next for trusted AI?

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